Integrating DEA into Six Sigma methodology for measuring health service efficiency

Q Feng and J Antony
Additional contact information
Q Feng: University of Houston
J Antony: University of Strathclyde

Journal of the Operational Research Society, 2010, vol. 61, issue 7, 1112-1121

Abstract: Abstract As a linear programming technique that is used to assess performance efficiency among organizational units, data envelopment analysis (DEA) has the practical value for planners to identify the most efficient units and thus project a best possible course of actions. This is also the fundamental goal of Six Sigma methodology for process improvement. Therefore, it is natural to integrate the DEA method into the framework of Six Sigma to enhance both the usefulness of Six Sigma and the effectiveness of DEA for assessing and improving health service efficiency. In this paper, the implementation of DEA is well incorporated into the Define, Measure, Analyze, Improve and Control process. The procedure can be well fitted into the Blackbelts training curriculum, which can also serve as a roadmap for Six Sigma practitioners to implement the DEA-enhanced projects. To illustrate how to integrate DEA into the Six Sigma framework, we present a Six Sigma project implemented to measure physician productivity in a clinical department.

Keywords: data envelopment analysis (DEA); Six Sigma; DMAIC; physician productivity; health service efficiency (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1057/jors.2009.61 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:61:y:2010:i:7:d:10.1057_jors.2009.61

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

DOI: 10.1057/jors.2009.61

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().